The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-05-17"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "4713620 (up from 4634068 yesterday: 1.72 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "315185 (up from 311781 yesterday: 1.09 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.69



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1486757 18937 1.29 89562 808 0.91 6.02
Russia 281752 9709 3.57 2631 94 3.71 0.93
United Kingdom 244995 3534 1.46 34716 170 0.49 14.17
Brazil 241080 7569 3.24 16118 456 2.91 6.69
Spain 230698 0 0.00 27563 0 0.00 11.95
Italy 225435 675 0.30 31908 145 0.46 14.15
France 179693 63 0.04 28111 579 2.10 15.64
Germany 176369 617 0.35 7962 24 0.30 4.51
Turkey 149435 1368 0.92 4140 44 1.07 2.77
Iran 120198 1806 1.53 6988 51 0.74 5.81
India 95698 5050 5.57 3025 154 5.36 3.16
Peru 92273 3732 4.21 2648 125 4.95 2.87
China 84054 10 0.01 4638 0 0.00 5.52
Canada 78332 1126 1.46 5903 103 1.78 7.54
Belgium 55280 291 0.53 9052 47 0.52 16.37
Saudi Arabia 54752 2736 5.26 312 10 3.31 0.57
Mexico 49219 2075 4.40 5177 132 2.62 10.52
Netherlands 44195 125 0.28 5699 10 0.18 12.90
Chile 43781 2353 5.68 450 29 6.89 1.03
Pakistan 40151 1352 3.48 873 39 4.68 2.17
Ecuador 33182 419 1.28 2736 48 1.79 8.25
Qatar 32604 1632 5.27 15 0 0.00 0.05
Switzerland 30587 15 0.05 1881 2 0.11 6.15
Sweden 30143 466 1.57 3679 5 0.14 12.21
Belarus 29650 969 3.38 165 5 3.12 0.56
Portugal 29036 226 0.78 1218 15 1.25 4.19
Singapore 28038 682 2.49 22 0 0.00 0.08
Ireland 24112 64 0.27 1543 10 0.65 6.40
United Arab Emirates 23358 731 3.23 220 6 2.80 0.94
Bangladesh 22268 1273 6.06 328 14 4.46 1.47
Poland 18529 272 1.49 925 10 1.09 4.99
Ukraine 18291 433 2.42 514 17 3.42 2.81
Indonesia 17514 489 2.87 1148 59 5.42 6.55
Romania 16871 167 1.00 1107 13 1.19 6.56
Israel 16617 9 0.05 272 4 1.49 1.64
Japan 16285 48 0.30 744 19 2.62 4.57
Austria 16242 41 0.25 629 0 0.00 3.87
Colombia 15574 635 4.25 574 12 2.14 3.69
South Africa 15515 1160 8.08 264 3 1.15 1.70
Kuwait 14850 1048 7.59 112 5 4.67 0.75
Philippines 12513 208 1.69 824 7 0.86 6.59
Dominican Republic 12314 204 1.68 428 0 0.00 3.48
Egypt 12229 510 4.35 630 18 2.94 5.15
Denmark 11125 69 0.62 547 4 0.74 4.92
Korea, South 11065 15 0.14 263 1 0.38 2.38
Serbia 10610 114 1.09 230 2 0.88 2.17
Panama 9606 157 1.66 275 6 2.23 2.86
Czechia 8475 20 0.24 298 2 0.68 3.52
Norway 8249 12 0.15 232 0 0.00 2.81
Argentina 8068 263 3.37 373 10 2.75 4.62
Australia 7054 10 0.14 99 1 1.02 1.40
Algeria 7019 198 2.90 548 6 1.11 7.81
Bahrain 6956 209 3.10 12 0 0.00 0.17
Malaysia 6894 22 0.32 113 0 0.00 1.64
Morocco 6870 129 1.91 192 0 0.00 2.79
Afghanistan 6664 262 4.09 169 1 0.60 2.54
Finland 6347 61 0.97 298 1 0.34 4.70
Kazakhstan 6157 307 5.25 34 0 0.00 0.55
Moldova 6060 126 2.12 211 4 1.93 3.48
Nigeria 5959 338 6.01 182 6 3.41 3.05
Ghana 5735 0 0.00 29 0 0.00 0.51
Oman 5186 157 3.12 22 1 4.76 0.42
Armenia 4472 189 4.41 60 5 9.09 1.34
Bolivia 4088 262 6.85 169 4 2.42 4.13
Luxembourg 3945 15 0.38 107 3 2.88 2.71
Hungary 3509 36 1.04 451 3 0.67 12.85
Iraq 3404 144 4.42 123 2 1.65 3.61
Azerbaijan 3274 136 4.33 39 3 8.33 1.19
Cameroon 3105 0 0.00 140 0 0.00 4.51
Thailand 3028 3 0.10 56 0 0.00 1.85
Greece 2834 15 0.53 163 1 0.62 5.75
Uzbekistan 2753 15 0.55 12 1 9.09 0.44
Guinea 2658 0 0.00 16 0 0.00 0.60
Honduras 2646 81 3.16 142 4 2.90 5.37
Senegal 2480 51 2.10 25 0 0.00 1.01
Bosnia and Herzegovina 2290 23 1.01 133 4 3.10 5.81
Sudan 2289 0 0.00 97 0 0.00 4.24
Croatia 2226 2 0.09 95 0 0.00 4.27
Bulgaria 2211 36 1.66 108 3 2.86 4.88
Cote d’Ivoire 2109 48 2.33 27 2 8.00 1.28
Cuba 1872 10 0.54 79 0 0.00 4.22
Iceland 1802 0 0.00 10 0 0.00 0.55
North Macedonia 1792 30 1.70 101 3 3.06 5.64
Estonia 1774 4 0.23 63 0 0.00 3.55
Guatemala 1763 0 0.00 33 0 0.00 1.87
Lithuania 1541 7 0.46 56 1 1.82 3.63
Tajikistan 1524 202 15.28 39 3 8.33 2.56
New Zealand 1499 0 0.00 21 0 0.00 1.40
Slovakia 1494 1 0.07 28 0 0.00 1.87
Slovenia 1466 1 0.07 104 1 0.97 7.09
Congo (Kinshasa) 1455 0 0.00 61 0 0.00 4.19
Somalia 1421 64 4.72 56 1 1.82 3.94
Djibouti 1401 70 5.26 4 0 0.00 0.29
El Salvador 1338 73 5.77 30 4 15.38 2.24
Gabon 1320 0 0.00 11 0 0.00 0.83
Kyrgyzstan 1138 21 1.88 14 0 0.00 1.23
Maldives 1094 16 1.48 4 0 0.00 0.37
Tunisia 1037 0 0.00 45 0 0.00 4.34
Latvia 1008 11 1.10 19 0 0.00 1.88

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 350121 1889 0.54 28232 183 0.65 8.06 17997.78 1451.25 1 in 56
New Jersey 146504 1415 0.98 10363 102 0.99 7.07 16494.13 1166.72 1 in 61
Illinois 94191 1734 1.88 4177 48 1.16 4.43 7433.11 329.63 1 in 135
Massachusetts 86010 1077 1.27 5797 92 1.61 6.74 12376.42 834.16 1 in 81
California 80166 1441 1.83 3240 32 1.00 4.04 2028.89 82.00 1 in 493
Pennsylvania 65700 515 0.79 4495 15 0.33 6.84 5132.02 351.12 1 in 195
Michigan 51142 604 1.20 4891 10 0.20 9.56 5120.93 489.74 1 in 195
Texas 48396 944 1.99 1343 25 1.90 2.78 1669.06 46.32 1 in 599
Florida 45588 777 1.73 1973 9 0.46 4.33 2122.57 91.86 1 in 471
Maryland 38804 836 2.20 1992 35 1.79 5.13 6418.47 329.49 1 in 156
Georgia 37579 367 0.99 1610 12 0.75 4.28 3539.37 151.64 1 in 283
Connecticut 37419 716 1.95 3408 69 2.07 9.11 10495.37 955.88 1 in 95
Louisiana 34432 315 0.92 2491 12 0.48 7.23 7406.65 535.84 1 in 135
Virginia 30388 705 2.38 1010 7 0.70 3.32 3560.18 118.33 1 in 281
Ohio 27923 449 1.63 1625 15 0.93 5.82 2388.81 139.02 1 in 419
Indiana 27778 498 1.83 1751 10 0.57 6.30 4126.13 260.09 1 in 242
Colorado 21938 305 1.41 1215 23 1.93 5.54 3809.52 210.98 1 in 263
North Carolina 18673 543 3.00 686 10 1.48 3.67 1780.40 65.41 1 in 562
Washington 18433 145 0.79 1001 2 0.20 5.43 2420.65 131.45 1 in 413
Tennessee 17359 96 0.56 298 3 1.02 1.72 2540.40 43.61 1 in 394
Minnesota 15668 699 4.67 731 22 3.10 4.67 2778.20 129.62 1 in 360
Iowa 14651 323 2.25 351 5 1.45 2.40 4643.64 111.25 1 in 215
Arizona 13945 279 2.04 680 1 0.15 4.88 1831.28 89.30 1 in 546
Rhode Island 12674 240 1.93 499 10 2.04 3.94 11963.82 471.04 1 in 84
Wisconsin 12543 356 2.92 453 0 0.00 3.61 2154.25 77.80 1 in 464
Alabama 11771 97 0.83 488 3 0.62 4.15 2400.68 99.53 1 in 417
Mississippi 11296 173 1.56 521 11 2.16 4.61 3795.51 175.06 1 in 263
Missouri 11108 149 1.36 600 6 1.01 5.40 1809.88 97.76 1 in 553
Nebraska 10177 -43 -0.42 123 0 0.00 1.21 5261.04 63.59 1 in 190
South Carolina 8816 155 1.79 385 5 1.32 4.37 1712.27 74.78 1 in 584
Kansas 7953 14 0.18 195 0 0.00 2.45 2729.88 66.93 1 in 366
Kentucky 7688 0 0.00 334 0 0.00 4.34 1720.81 74.76 1 in 581
Delaware 7670 123 1.63 290 4 1.40 3.78 7876.65 297.81 1 in 127
Utah 7238 170 2.41 80 2 2.56 1.11 2257.67 24.95 1 in 443
District of Columbia 7123 81 1.15 383 8 2.13 5.38 10092.82 542.69 1 in 99
Nevada 6949 136 2.00 350 3 0.86 5.04 2256.05 113.63 1 in 443
New Mexico 5938 91 1.56 265 6 2.32 4.46 2831.90 126.38 1 in 353
Oklahoma 5310 73 1.39 288 0 0.00 5.42 1341.94 72.78 1 in 745
Arkansas 4759 181 3.95 98 0 0.00 2.06 1576.96 32.47 1 in 634
South Dakota 3987 28 0.71 44 0 0.00 1.10 4506.82 49.74 1 in 222
Oregon 3623 11 0.30 137 0 0.00 3.78 858.99 32.48 1 in 1164
New Hampshire 3596 40 1.12 172 1 0.58 4.78 2644.68 126.50 1 in 378
Puerto Rico 2646 57 2.20 123 1 0.82 4.65 828.51 38.51 1 in 1207
Idaho 2419 0 0.00 73 0 0.00 3.02 1349.84 40.74 1 in 741
North Dakota 1900 52 2.81 43 1 2.38 2.26 2493.24 56.43 1 in 401
Maine 1687 39 2.37 70 0 0.00 4.15 1255.01 52.08 1 in 797
West Virginia 1492 22 1.50 67 3 4.69 4.49 834.85 37.49 1 in 1198
Vermont 940 6 0.64 54 1 1.89 5.74 1506.44 86.54 1 in 664
Wyoming 754 13 1.75 8 1 14.29 1.06 1302.79 13.82 1 in 768
Hawaii 640 1 0.16 17 0 0.00 2.66 452.02 12.01 1 in 2212
Montana 468 0 0.00 16 0 0.00 3.42 437.88 14.97 1 in 2284
Alaska 388 0 0.00 10 0 0.00 2.58 530.38 13.67 1 in 1885

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 1413396 350121 24.77 72654.87
New Jersey 487565 146504 30.05 54892.43
Illinois 581944 94191 16.19 45924.26
Massachusetts 460826 86010 18.66 66310.64
California 1235243 80166 6.49 31262.30
Pennsylvania 332904 65700 19.74 26004.08
Michigan 396958 51142 12.88 39748.04
Texas 693276 48396 6.98 23909.46
Florida 651792 45588 6.99 30347.33
Maryland 194926 38804 19.91 32242.20
Georgia 351175 37579 10.70 33075.35
Connecticut 170607 37419 21.93 47852.25
Louisiana 265170 34432 12.98 57040.60
Virginia 190361 30388 15.96 22302.22
Ohio 264462 27923 10.56 22624.67
Indiana 177243 27778 15.67 26327.57
Colorado 125548 21938 17.47 21801.31
North Carolina 248944 18673 7.50 23735.89
Washington 280993 18433 6.56 36900.45
Tennessee 325280 17359 5.34 47603.06
Minnesota 150585 15668 10.40 26701.21
Iowa 100241 14651 14.62 31771.40
Arizona 151761 13945 9.19 19929.50
Rhode Island 112550 12674 11.26 106243.29
Wisconsin 152217 12543 8.24 26143.19
Alabama 156350 11771 7.53 31887.44
Mississippi 113126 11296 9.99 38010.87
Missouri 157044 11108 7.07 25587.92
Nebraska 65640 10177 15.50 33932.86
South Carolina 120331 8816 7.33 23371.08
Kansas 61592 7953 12.91 21141.56
Kentucky 129685 7688 5.93 29027.42
Delaware 40865 7670 18.77 41966.02
Utah 170752 7238 4.24 53260.83
District of Columbia 36526 7123 19.50 51754.94
Nevada 80637 6949 8.62 26179.52
New Mexico 128584 5938 4.62 61323.07
Oklahoma 123472 5310 4.30 31203.67
Arkansas 85185 4759 5.59 28227.28
South Dakota 28559 3987 13.96 32282.50
Oregon 94356 3623 3.84 22371.24
New Hampshire 44752 3596 8.04 32912.88
Puerto Rico 2646 2646 100.00 828.51
Idaho 36672 2419 6.60 20463.54
North Dakota 55221 1900 3.44 72462.61
Maine 23779 1687 7.09 17689.92
West Virginia 75490 1492 1.98 42240.51
Vermont 22282 940 4.22 35708.96
Wyoming 17085 754 4.41 29520.06
Hawaii 41674 640 1.54 29433.45
Montana 26885 468 1.74 25154.90
Alaska 34651 388 1.12 47366.87

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 33053 2347 7.64 7688 23.26 24167 1198 63 5.55 3.62
Gujarat 11380 391 3.56 4499 39.53 6222 659 34 5.44 5.79
Tamil Nadu 11224 639 6.04 4172 37.17 6973 79 5 6.76 0.70
Delhi 9755 422 4.52 4202 43.08 5405 148 19 14.73 1.52
Rajasthan 5202 172 3.42 3055 58.73 2016 131 3 2.34 2.52
Madhya Pradesh 4977 187 3.90 2403 48.28 2326 248 5 2.06 4.98
Uttar Pradesh 4464 206 4.84 2636 59.05 1716 112 8 7.69 2.51
West Bengal 2677 101 3.92 959 35.82 1480 238 6 2.59 8.89
Andhra Pradesh 2380 25 1.06 1456 61.18 874 50 1 2.04 2.10
Punjab 1964 18 0.92 1366 69.55 563 35 3 9.38 1.78
Telangana 1551 42 2.78 992 63.96 525 34 0 0.00 2.19
Bihar 1320 142 12.05 473 35.83 839 8 1 14.29 0.61
Jammu and Kashmir 1183 62 5.53 575 48.61 595 13 1 8.33 1.10
Karnataka 1147 55 5.04 509 44.38 600 37 1 2.78 3.23
Haryana 910 23 2.59 562 61.76 334 14 1 7.69 1.54
Odisha 828 0 0.00 220 26.57 604 4 -1 -20.00 0.48
Kerala 602 14 2.38 497 82.56 101 4 0 0.00 0.66
Jharkhand 223 6 2.76 113 50.67 107 3 0 0.00 1.35
Chandigarh 191 0 0.00 51 26.70 137 3 0 0.00 1.57
Tripura 165 -2 -1.20 85 51.52 80 0 0 NaN 0.00
Assam 101 5 5.21 42 41.58 55 2 0 0.00 1.98
Uttarakhand 92 1 1.10 52 56.52 39 1 0 0.00 1.09
Chhattisgarh 85 18 26.87 59 69.41 26 0 0 NaN 0.00
Himachal Pradesh 80 2 2.56 40 50.00 34 3 0 0.00 3.75
Ladakh 43 0 0.00 24 55.81 19 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Goa 29 9 45.00 7 24.14 22 0 0 NaN 0.00
Puducherry 16 0 0.00 9 56.25 7 0 0 NaN 0.00
Meghalaya 13 0 0.00 11 84.62 1 1 0 0.00 7.69
Manipur 7 0 0.00 2 28.57 5 0 0 NaN 0.00
Arunachal Pradesh 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Mizoram 1 0 0.00 1 100.00 0 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
Nagaland 0 0 NaN 0 NaN 0 0 0 NaN NaN
Sikkim 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 564550 84518 399 0.47 14.97 4521 268 27679 15450 18.28
Piemonte 245075 29483 137 0.47 12.03 1562 100 10702 3594 12.19
Emilia-Romagna 258274 27182 72 0.27 10.52 740 112 5852 3960 14.57
Veneto 497045 18928 39 0.21 3.81 290 20 4162 1783 9.42
Toscana 200703 9913 30 0.30 4.94 234 66 2943 979 9.88
Liguria 78068 9111 51 0.56 11.67 369 26 2533 1346 14.77
Lazio 201938 7396 32 0.43 3.66 1156 76 4022 616 8.33
Marche 87211 6642 23 0.35 7.62 154 17 2657 982 14.78
Campania 136261 4668 14 0.30 3.43 351 16 1710 396 8.48
Puglia 89611 4374 8 0.18 4.88 272 22 2104 463 10.59
P.A. Trento 65383 4326 8 0.19 6.62 44 8 345 453 10.47
Sicilia 114963 3382 8 0.24 2.94 159 12 1659 265 7.84
Friuli Venezia Giulia 101694 3183 8 0.25 3.13 79 3 680 319 10.02
Abruzzo 55672 3178 30 0.95 5.71 195 7 1423 383 12.05
P.A. Bolzano 53703 2578 0 0.00 4.80 48 5 343 290 11.25
Umbria 55170 1422 0 0.00 2.58 25 2 81 73 5.13
Sardegna 41257 1352 4 0.30 3.28 75 10 415 125 9.25
Valle d’Aosta 11835 1173 1 0.09 9.91 33 0 75 142 12.11
Calabria 54091 1151 7 0.61 2.13 56 2 474 95 8.25
Molise 10859 410 3 0.74 3.78 8 2 215 22 5.37
Basilicata 21496 390 1 0.26 1.81 29 1 113 27 6.92

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 42928 736 1.74 3563 79 2.27 8.30 5028.07 417.33 1 in 199
Ontario 23974 329 1.39 1999 23 1.16 8.34 1629.57 135.88 1 in 614
Alberta 6644 57 0.87 127 1 0.79 1.91 1505.50 28.78 1 in 664
British Columbia 2428 0 0.00 141 0 0.00 5.81 475.06 27.59 1 in 2105
Nova Scotia 1040 3 0.29 55 0 0.00 5.29 1063.99 56.27 1 in 940
Saskatchewan 592 1 0.17 7 0 0.00 1.18 500.99 5.92 1 in 1996
Manitoba 289 0 0.00 7 0 0.00 2.42 209.80 5.08 1 in 4766
Newfoundland and Labrador 260 0 0.00 3 0 0.00 1.15 498.69 5.75 1 in 2005
New Brunswick 120 0 0.00 0 0 NaN 0.00 153.85 0.00 1 in 6500
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68134 4512 6.62
Guangdong 1590 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1055 4 0.38
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 945 13 1.38
Jiangxi 937 1 0.11
Shandong 788 7 0.89
Shanghai 666 7 1.05
Jiangsu 653 0 0.00
Beijing 593 9 1.52
Chongqing 579 6 1.04
Sichuan 561 3 0.53
Fujian 356 1 0.28
Hebei 328 6 1.83
Shaanxi 308 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 213 1 0.47
Shanxi 198 0 0.00
Tianjin 192 3 1.56
Yunnan 185 2 1.08
Hainan 169 6 3.55
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Jilin 146 2 1.37
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 4543.88 273.72 1 in 220
Russia 1949.84 18.21 1 in 513
United Kingdom 3687.46 522.52 1 in 271
Brazil 1151.84 77.01 1 in 868
Spain 4944.23 590.72 1 in 202
Italy 3727.43 527.58 1 in 268
France 2682.39 419.63 1 in 373
Germany 2130.32 96.17 1 in 469
Turkey 1849.21 51.23 1 in 541
Iran 1481.00 86.10 1 in 675
India 71.47 2.26 1 in 13992
Peru 2868.29 82.31 1 in 349
China 60.65 3.35 1 in 16489
Canada 2083.85 157.04 1 in 480
Belgium 4849.12 794.04 1 in 206
Saudi Arabia 1662.17 9.47 1 in 602
Mexico 380.95 40.07 1 in 2625
Netherlands 2572.47 331.72 1 in 389
Chile 2425.54 24.93 1 in 412
Pakistan 203.81 4.43 1 in 4906

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 192593 20720 10.76
Cook Illinois 62218 2839 4.56
Nassau New York 39136 2044 5.22
Suffolk New York 38117 1748 4.59
Los Angeles California 38011 1821 4.79
Westchester New York 32224 1289 4.00
Philadelphia Pennsylvania 19606 1031 5.26
Middlesex Massachusetts 19129 1394 7.29
Wayne Michigan 19065 2213 11.61
Hudson New Jersey 18498 1057 5.71
Bergen New Jersey 17361 1455 8.38
Suffolk Massachusetts 16479 787 4.78
Essex New Jersey 16204 1535 9.47
Miami-Dade Florida 15658 561 3.58
Passaic New Jersey 15205 838 5.51
Union New Jersey 14702 957 6.51
Middlesex New Jersey 14668 884 6.03
Fairfield Connecticut 14248 1146 8.04
Rockland New York 12758 602 4.72
Essex Massachusetts 12462 776 6.23
Prince George’s Maryland 11316 429 3.79
New Haven Connecticut 10159 817 8.04
Orange New York 9943 408 4.10
Harris Texas 9465 204 2.16
Worcester Massachusetts 9252 569 6.15
Providence Rhode Island 9112 0 0.00
Hartford Connecticut 8723 1069 12.25
Marion Indiana 8303 477 5.74
Montgomery Maryland 8206 475 5.79
Oakland Michigan 8043 912 11.34
Ocean New Jersey 7913 626 7.91
Fairfax Virginia 7643 282 3.69
Norfolk Massachusetts 7474 725 9.70
King Washington 7472 527 7.05
Dallas Texas 7455 176 2.36
Monmouth New Jersey 7339 508 6.92
Maricopa Arizona 7240 319 4.41
District of Columbia District of Columbia 7123 383 5.38
Plymouth Massachusetts 7064 460 6.51
Jefferson Louisiana 7039 430 6.11
Orleans Louisiana 6809 495 7.27
Lake Illinois 6489 215 3.31
Macomb Michigan 6345 740 11.66
Broward Florida 6243 279 4.47
Morris New Jersey 6036 561 9.29
DuPage Illinois 5904 298 5.05
Montgomery Pennsylvania 5872 620 10.56
Bristol Massachusetts 5870 320 5.45
San Diego California 5836 209 3.58
Mercer New Jersey 5825 407 6.99

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc